Applications of real-time machine vision to the control of mining equipment

Roberts, Jonathan M., Corke, Peter I., & Winstanley, Graeme J. (1995) Applications of real-time machine vision to the control of mining equipment. In Maeder, Anthony & Lovell, Brian (Eds.) Proceedings of Digital Image Computing: Techniques and Applications (DICTA-95), Australian Pattern Recognition Society, Brisbane, Australia, pp. 667-672.

Pre-QUT conference paper (PDF 1MB)
Published Version.


The mining industry presents us with a number of ideal applications for sensor based machine control because of the unstructured environment that exists within each mine. The aim of the research presented here is to increase the productivity of existing large compliant mining machines by retrofitting with enhanced sensing and control technology. The current research focusses on the automatic control of the swing motion cycle of a dragline and an automated roof bolting system. We have achieved:

  • closed-loop swing control of an one-tenth scale model dragline;

  • single degree of freedom closed-loop visual control of an electro-hydraulic manipulator in the lab developed from standard components.

Impact and interest:

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ID Code: 84984
Item Type: Conference Paper
Refereed: Yes
Keywords: Machine vision, Mining equipment, Real-time, Productivity, Retrofitting
ISSN: 1325 3034
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 1995 [please consult the authors]
Copyright Statement: Individual publication can be photocopied for the purpose of private study or non-commercial teaching. For other copying, reprint or republication permission please contact the authors direct.
Deposited On: 24 Jun 2015 23:01
Last Modified: 24 Jun 2015 23:01

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